I have received a commendation letter as an outstanding reviewer for the journal Automatica for the year 2023.
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Author: Nicola Bastianello
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3 papers accepted for CDC’23
I am co-author of three papers that have been accepted for presentation at CDC’23:
- N. Bastianello, A. I. Rikos, K. H. Johansson. “Online Distributed Learning with Quantized Finite-Time Coordination.” 2023 IEEE Conference on Decision and Control (CDC’23)
- D. Deplano, N. Bastianello, M. Franceschelli, K. H. Johansson. “A unified approach to solve the dynamic consensus on the average, maximum, and median values with linear convergence.” 2023 IEEE Conference on Decision and Control (CDC’23)
- G. Carnevale, N. Bastianello, R. Carli, G. Notarstefano. “Distributed Consensus Optimization via ADMM-Tracking Gradient.” 2023 IEEE Conference on Decision and Control (CDC’23)
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Talk at UniPD
I have been invited to give a talk on May 12, 2023 at the workshop “From behaviors and codes to intelligent network systems”, held at the University of Padova in honor of Prof. Sandro Zampieri’s 60th birthday.
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EECI graduate school
On 13-17/02/2023 I will be teaching a graduate course for EECI alongside Prof. Ruggero Carli and Prof. Luca Schenato. The course is titled “Multi-Agent Optimization and Learning: Resilient and Adaptive Solutions” and will provide an in-depth look at distributed optimization and learning algorithms, with particular focus on challenging scenarios (communication failures, asynchrony, …). The flyer for the course can be read here and more information on registration is available here.
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Post-doc at KTH
Starting November 1st I will be a post-doc at KTH, Stockholm, Sweden, in Prof. Karl H. Johansson‘s group.
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Post-doc at University of Padova
From November 2021 to October 2022 I will be a post-doc at the University of Padova, working under the supervision of Prof. Sandro Zampieri and Prof. Ruggero Carli. The post-doc is financed through a PRIN (research grant of the Italian Ministry of Education, University and Research) with the goal of developing “Robust online distributed optimization algorithms with applications to power networks”.
Starting November 2022 I will be on the job market looking for a post-doc position! Please contact me if you have an offer.
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PhD thesis
The draft of my PhD thesis, currently under review, is available here. If you have any comments please fell free to reach out.
Update February 2022: I discussed my thesis, the final version can be found here
I am grateful to my supervisors Prof. Ruggero Carli and Prof. Andrea Simonetto, and my supervisor at CU Boulder Prof. Emiliano Dall’Anese.
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NecSys’22 short course
In July 2022 I will teach a short course on distributed optimization with Prof. Ruggero Carli and Prof. Luca Schenato. The course takes place on 3-4 July 2022 at ETH Zurich, just before the NecSys’22 conference. Check out this page for more details.